NO

CODE

COURSE NAME

DESCRIPTION

1

STA6329

Missing Data Analysis

This course covers the basic concepts of missing data, multiple imputation, univariate missing data, multivariate missing data, imputation in practice, imputed data analysis.

2

STA6330

Statistical Mediation Analysis

This course covers the basic concepts of mediation models, application of mediation models, single mediator models, multiple mediator models, pathway analysis mediation models, longitudinal mediation models, multilevel mediation models, mediation and moderation.

3

STA6331

Structural Equation Modeling

This course covers the basic concepts of structural equation modelling, confirmatory factor analysis, structural equations with latent variables, latent growth models for longitudinal data analysis, multi-group modelling, mixed modelling, sample size for structural equation modelling.

4

STA6332

Longitudinal Data Analysis

This course contains an introduction to longitudinal studies, approaches to analysis of variance on longitudinal data, approaches to analysis of multivariate variance on longitudinal data, mixed-effect regression models for continuous responses, mixed-influence polynomial regression models, covariance pattern models, mixed regression models with autocorrelated errors, generalized models. estimating equations (GEE), mixed effect regression model for binary responses, mixed effect regression model for ordinal response, random effect regression model for nominal data, and random effect regression model for enumeration.

5

STA6333

Multilevel Modeling

This course covers linear models, introduction to multilevel data structures, fitting two-level models, three-level and more models, longitudinal data analysis with multilevel models, multilevel generalized linear models, and Bayesian multilevel modelling.

NO

CODE

COURSE NAME

DESCRIPTION

1

STA6339

Financial Mathematics

This course covers interest rate theory, basic functions of compound interest, nominal interest rates, periodic annuities, discounted cash flows, amortization schedules, sinking funds, bonds, and yields.

2

STA6340

Mathematical Economics

This covers two topics i.e. microeconomics and macroeconomics. Microeconomics contains discussion about the decisions of individuals and firms and the interactions of those decisions in the market place and also studies the effects of government regulations and taxes on the prices and quantities of individual goods and services. While, macroeconomic contains discussion about the national and global economy as a whole, i.e. average prices, employment, income, and total production and the effect of government policies such as taxes, spending, and deficits on employment and total income.

3

STA6341

Life Insurance

The course covers survival distribution, mortality tables, mortality rate, fractional age assumptions, discrete and continuous life annuity models, discrete and continuous life insurance models, reserves, and multiple decrements.

4

STA6342

Risk Modeling

This course covers the basics of risk management, financial institution operations, credit risk, stock and portfolio investment risk, bond investment risk, and derivative investment risk, and interest rate risk models as well as simple and aggregate loss risk models.

5

STA6343

Pension Plan

This course covers the basics of pension fund program design and pension fund management, as well as the basics of pension fund valuation using several actuarial methods. Students will be introduced to the application of actuarial calculations of a pension fund program. Topics that will be discussed in this course include the basics of pension funds, determination of benefits, costs and liabilities of pension funds, several methods of actuarial costs and their effects on cost patterns, selection of actuarial assumptions, and principles of asset and liability management.

NO

CODE

COURSE NAME

DESCRIPTION

1

STA6334

Applied Biostatistics

Applied Biostatistics course will discuss the scope of biostatistics; objectives, data collection, data processing, and interpretation of the results of various types of biostatistics research (cross-sectional research, case-control research, cohort research, diagnostic research, clinical research, and pharmaceutical research); the role of biostatistics in bioinformatics research.

2

STA6335

Meta Analysis

This course will discuss the scope and objectives of meta-analysis. This course covers review of types of health research and sources of health research information; statistics on meta-analysis; meta-analysis techniques on comparison of averages, risk ratios, odds ratios, correlations, regression coefficients, and survival data; meta-analysis techniques on complex research and multivariate data.

3

STA6336

Survival Analysis

This course covers the basic concepts of survival analysis, non-parametric methods for estimating survival functions, non-parametric methods for comparing survival distributions, parametric survival distributions, estimates for parametric survival distributions without covariates, graphical methods for fitting survival distributions, goodness of fit and distribution selection, a parametric method for comparing two survival distributions.

4

STA6337

Spatial Statistics

This course covers the basic concepts of spatial statistics, measurements of spatial data, spatial data visualization and hypothesis testing, spatial statistical relationships, analysis of point spatial data patterns (quadrat count, Nearest Neighbor, K-Function, Kernel Estimation), area (Moran and Geary spatial autocorrelation coefficients), and geostatistics (Kriging method), practical applications. This course discusses the basic concepts of spatial statistics, measurements of spatial data, spatial data visualization and hypothesis testing, spatial statistical relationships, analysis of point spatial data patterns (quadrat count, Nearest Neighbor, K-Function, Kernel Estimation), area (Moran and Geary spatial autocorrelation coefficients), and geostatistics (Kriging method), practical applications.

5

STA6338

Statistical Methods for Epidemiology

This course discusses statistical methods for Epidemiology containing the meaning and purpose of epidemiology; disease and death statistics; causality; interactions, biases, and confounders; cross-sectional and longitudinal linear models for epidemiological data; infectious disease distribution model.

NO

CODE

COURSE NAME

DESCRIPTION

1

STA6344

Econometrics

This course covers the application of multiple linear regression analysis, advanced time series theory, panel data regression for modelling economic problems using static and dynamic econometric models, i.e. simultaneous equation models, cointegration, Error Correction Mechanism (ECM), and Vector Autoregressive (VAR) models.

2

STA6345

Statistical Quality Control

This course covers basic statistical process control (SPC) methods, process capability analysis methods, and advanced SPC methods i.e. cumulative sum (cumulative sum) and exponentially weighted moving average control graph. average/EWMA), introduction to quality management, TQM, and Six Sigma.

3

STA6346

Financial Statistics

This course covers application of statistical methods in investment and financial instruments analysis i.e. such as VaR and CVaR risk measures, portfolio theory, Markowitz, CAPM and APT, and options theory.

4

STA6347

Stochastic Process

This course covers stochastic models and their properties related i.e Markov Chains, Brownian motion, Martingale, and their applications.

5

STA6348

Business Analytics

This course covers statistical and data science methods to solve real-world business problems. Topics covered include identifying business issues, processing and analyzing data, presenting and interpreting analysis results, and creating interactive web applications. Learning process is carried out using the case method.